{"id":"W4377084973","doi":"10.23977/jemm.2023.080109","title":"Modal Analysis of Formula Racing Frame","year":2023,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frame (networking); Modal analysis; Modal; Software; Finite element method; Computer science; Range (aeronautics); Natural frequency; Vibration; Mode (computer interface); Structural engineering; Engineering; Acoustics; Physics; Human–computer interaction; Telecommunications; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001796727,0.0003371119,0.0002182021,0.0007739991,0.0003426818,0.0002864166,0.0002510438,0.0002742036,0.006942487],"category_scores_gemma":[0.0002669539,0.000130592,0.0002612915,0.0002796996,0.0001783181,0.0002865618,0.0001742274,0.0001477083,0.0004844303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947103,"about_ca_system_score_gemma":0.0001935591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002492077,"about_ca_topic_score_gemma":0.00202003,"domain_scores_codex":[0.9998626,0.0000113856,0.000003736143,0.0000378078,0.00006067022,0.00002389717],"domain_scores_gemma":[0.9998785,0.00001744398,0.00001068388,0.000009585947,0.00007881768,0.000004963964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000374929,0.00006307763,0.006417412,0.0003205727,0.00003441416,0.0005252017,0.001233394,0.08051157,0.5460607,0.05220059,0.005554181,0.306704],"study_design_scores_gemma":[0.00002648675,0.0003586439,0.03455947,0.00005626418,0.00006422924,0.0005506441,0.0007117843,0.8140893,0.1034725,0.009220023,0.03677998,0.0001107703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2912477,0.0006292493,0.6711938,0.0001065012,0.00009007211,0.00007952574,0.000424076,0.0005428724,0.03568621],"genre_scores_gemma":[0.9659829,0.0002016948,0.02459082,0.00002445902,0.00002700427,0.00003985275,0.000257502,0.00003549804,0.008840266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006942487,"threshold_uncertainty_score":0.02322489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120368317264852,"score_gpt":0.2446567577459421,"score_spread":0.2334530745732936,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}